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Remote Participation
Peter is a Machine Learning Engineer in the Data and Analytics Services group at NERSC. There, he works with domain scientists on ML applications in a variety of scientific fields. He also helps maintain and benchmark the ML software stack on NERSC's supercomputers, assists users with their ML workflows, and engages the scientific ML community with training events. He has a background in physics and computing, with a BS in Astrophysics and a MS in Scientific Computing & Applied Mathematics from the University of California Santa Cruz. Previously, Peter worked at Berkeley Lab as an applied machine learning researcher in the Computational Research Department.
Online Only
Extreme Scale Comptuing
Machine Learning and Artificial Intelligence
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